Analytics Vidhya
JULY 17, 2024
Introduction Imagine a world where the type of an object doesn’t matter as long as it performs the expected actions. This approach makes your code more flexible and easier to manage. Enter duck typing—a powerful programming model that focuses on what an object can do rather than what it is. This article will show you […] The post Understanding Duck Typing in Python appeared first on Analytics Vidhya.
Unite.AI
JULY 17, 2024
Over the years, the quality of software and the processes by which it is built have gained traction. This has led enterprises to transition from Quality Assurance (QA) to Quality Engineering (QE). With this, enterprises have started to connect the results of the quality function with overall business outcomes. With the increased hype and adoption of newer technologies such as generative AI , it has become more critical to understand the implications for processes, people, and technology and the
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Analytics Vidhya
JULY 17, 2024
Introduction Finding your way around the complex realm of time series analysis might be likened to discovering a gold mine of information concealed in data. For anybody interested in learning more about this intriguing topic, the trip frequently starts with the correct guidebooks. The books you select can greatly affect your level of knowledge in […] The post The 10 Best Books on Time Series Analysis appeared first on Analytics Vidhya.
Unite.AI
JULY 17, 2024
Artificial intelligence has significantly advanced the field of character creation, providing artists, writers, and developers with powerful tools to realize their concepts. AI character generators have emerged as efficient solutions for creating detailed, unique characters rapidly. These tools, ranging from text-prompt systems to image-based transformations, are redefining character design across various media.
Speaker: David Warren and Kevin O’Neill Stoll
Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng
Analytics Vidhya
JULY 17, 2024
Introduction The realm of data offers vast capabilities and numerous challenges. Whether you are a data analyst, data scientist, or data engineer, summarizing and aggregating data is essential. This skill helps distill complex information into meaningful insights, driving informed decisions across various industries like finance, healthcare, retail, and technology.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
JULY 17, 2024
Introduction Imagine having the full potential of your favorite AI assistant, transforming it from a helpful tool into a creative powerhouse. Picture a world where your interactions with Large Language Models(LLMs) are efficient, profoundly intuitive, and impactful. Enter the Skeleton of Thoughts (SoT) – a groundbreaking framework poised to revolutionize artificial intelligence and natural language […] The post What is Skeleton of Thoughts and its Python Implementation?
Marktechpost
JULY 17, 2024
In the rapidly developing field of audio synthesis, Nvidia has recently introduced BigVGAN v2. This neural vocoder breaks previous records for audio creation speed, quality, and adaptability by converting Mel spectrograms into high-fidelity waveforms. This team has thoroughly examined the main enhancements and ideas that set BigVGAN v2 apart. One of BigVGAN v2’s most notable features is its unique inference CUDA kernel, which combines fused upsampling and activation processes.
Analytics Vidhya
JULY 17, 2024
Introduction Statistical Analysis of text is one of the important steps of text pre-processing. It helps us understand our text data in a deep, mathematical way. This type of analysis can help us understand hidden patterns, and the weight of specific words in a sentence, and overall, helps in building good language models. The pyNLPL […] The post Textual Statistical Analysis Using pyNLPL (Pineapple) Library appeared first on Analytics Vidhya.
NVIDIA
JULY 17, 2024
Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC and workstation users. Video is everywhere — nearly 80% of internet bandwidth today is used to stream video from content providers and social networks. While screens have become bigger and support higher resolutions, nearly all video is only 1080p quality or lower.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Analytics Vidhya
JULY 17, 2024
Introduction As the field of artificial intelligence (AI) continues to evolve, prompt engineering has emerged as a promising career. The skill for effectively interacting with large language models (LLMs) is one many are trying to master today. Do you wish to do the same? Are you wondering where to start and how to go about […] The post Learning Path to Become a Prompt Engineering Specialist appeared first on Analytics Vidhya.
AWS Machine Learning Blog
JULY 17, 2024
AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a wide range of applications. Cohere Command R is a scalable, frontier LLM designed to handle enterprise-grade workloads with ease.
Analytics Vidhya
JULY 17, 2024
Explore the XLOOKUP function in Excel, a versatile and modern alternative to VLOOKUP and HLOOKUP, with advanced capabilities, benefits & more
Towards AI
JULY 17, 2024
Last Updated on July 19, 2024 by Editorial Team Author(s): Anmol Tomar Originally published on Towards AI. A one-stop solution for understanding Descriptive StatisticsImage generated through AI by Author In a world filled with data, statistics is the compass guiding us through the huge seas of numbers. Statistics play an important role in predicting the weather, analyzing market trends, or assessing public health.
Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.
The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven
Analytics Vidhya
JULY 17, 2024
Introduction If you’ve been in the data field for quite some time, you’ve probably noticed that some technical skills are becoming more dominant, and the data backs this up. Until the release of NumPy in 2005, Python was considered slow for numeric analysis. But Numpy changed that. Pandas, in 2008, made Python the best language […] The post Fundamentals of Python Programming for Beginners appeared first on Analytics Vidhya.
Marktechpost
JULY 17, 2024
In the realm of Large language models (LLMs), there has been a significant transformation in text generation, prompting researchers to explore their potential in audio synthesis. The challenge lies in adapting these models for text-to-speech (TTS) tasks while maintaining high-quality output. Current methodologies, such as neural codec language models like VALL-E, face several limitations.
Artificial Lawyer
JULY 17, 2024
Leya has raised $25m in a Series A funding round. It’s one of a number of legal genAI-based startups recently to secure significant funding, from Harvey to LegalFly to Hebbia.
Marktechpost
JULY 17, 2024
In a notable tribute to Cleopatra, Mistral AI has announced the release of Codestral Mamba 7B , a cutting-edge language model (LLM) specialized in code generation. Based on the Mamba2 architecture, this new model marks a significant milestone in AI and coding technology. Released under the Apache 2.0 license, Codestral Mamba 7B is available for free use, modification, and distribution, promising to open new avenues in AI architecture research.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Towards AI
JULY 17, 2024
Last Updated on July 18, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Second Week of July 2024.
Marktechpost
JULY 17, 2024
Spatiotemporal prediction is a critical area of research in computer vision and artificial intelligence. It leverages historical data to predict future events. This technology has significant implications across various fields, such as meteorology, robotics, and autonomous vehicles. It aims to develop accurate models to forecast future states from past and present data, impacting applications from weather forecasting to traffic flow management.
AWS Machine Learning Blog
JULY 17, 2024
As a customer, you rely on Amazon Web Services (AWS) expertise to be available and understand your specific environment and operations. Today, you might implement manual processes to summarize lessons learned, obtain recommendations, or expedite the resolution of an incident. This can be time consuming, inconsistent, and not readily accessible. This post shows how to use AWS generative artificial intelligence (AI) services , like Amazon Q Business , with AWS Support cases, AWS Trusted Advisor ,
Marktechpost
JULY 17, 2024
Researchers are struggling with the challenge of causal discovery in heterogeneous time-series data, where a single causal model cannot capture diverse causal mechanisms. Traditional methods for causal discovery from time-series data, based on structural causal models, conditional independence tests, and Granger causality, typically assume a uniform causal structure across the entire dataset.
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After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!
Artificial Lawyer
JULY 17, 2024
We’ve heard about Thomson Reuters, LexisNexis, and vLex providing genAI legal research tools, but Bloomberg Law wants in on this too. It has now enhanced.
Marktechpost
JULY 17, 2024
This paper addresses the challenge of effectively evaluating language models (LMs). Evaluation is crucial for assessing model capabilities, tracking scientific progress, and informing model selection. Traditional benchmarks often fail to highlight novel performance trends and are sometimes too easy for advanced models, providing little room for growth.
Towards AI
JULY 17, 2024
Author(s): Daniel Voyce Originally published on Towards AI. Photo by Steve Johnson on Unsplash It seems like everyone is currently talking about GraphRAG as the successor to RAG (Retrieval-Augmented Generation) in the Generative AI / LLM world right now. But is it actually that much of a surprise? I posit that its not and that its actually a very logical progression when you look at the strengths and weaknesses of LLMs.
Marktechpost
JULY 17, 2024
Large language models (LLMs) are central to advancements in artificial intelligence, focusing on enhancing the models’ ability to follow detailed instructions. This area of research encompasses methods to improve the quality and complexity of datasets used for training LLMs, ultimately leading to more sophisticated and versatile AI systems. The importance of these improvements cannot be overstated, as they directly impact the models’ performance across various tasks, from natural lan
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
Towards AI
JULY 17, 2024
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, video processing and generation, and image recognition.
Marktechpost
JULY 17, 2024
Large language models (LLMs) such as GPT-3 and Llama-2 have made significant strides in understanding and generating human language. These models boast billions of parameters, allowing them to perform complex tasks accurately. However, the substantial computational resources required for training and deploying these models present significant challenges, particularly in resource-limited environments.
Artificial Lawyer
JULY 17, 2024
You’ve heard of Lexis+ AI for legal research, well, this is not that. This is Nexis+ AI – and its purpose, while also running on genAI, is quite different.
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